U-M Guidance for Students

University of Michigan’s GenAI offerings

With the rise of numerous GenAI-based tools, it is important to know how to choose a tool that works best for you. Tools provided by the University of Michigan, such as U-M GPT are private, secure, accessbile, equitable, and free for students. Data you share while using these tools will not be used for training these models, and hence are not at risk of being leaked. Look for the umich.edu domain in the page link to verify that you are using a U-M website.
 

U-M Generative AI Training and Events

For Generative AI events at U-M, visit the GenAI events page. Resources and training are also available for prompt literacy.
 

Choosing a GenAI tool to use

The GenAI space is rapidly growing and expanding, with new tools and capabilities being revealed every few days. Hence, understanding what to look for in these tools is key. When considering tools outside of what the University offers, be aware of the following when choosing a tool for your needs:

  • Privacy risks:
    Understand that in most cases, the data you share is not private and will be accessible by external parties hosting the GenAI-based tools. Do not share information that is considered private, or sensitive, such as credit card information, personal details such as ID numbers or addresses, and so on.
  • Misleading costs:
    Be aware that some tools will be ‘free-to-start’, or provide a more premium option with better functionality. Be wary of tools that require a credit card to sign up for it to start a free trial, as they may employ tactics that make it harder to then cancel the subscription.
  • Learn to use:
    Educate yourself on the ways to use these tools like ChatGPT better, through resources such as:
  • Understand limitations:
    Understand what GenAI-based tools can or cannot do. GenAI might appear to have the ability like a conscious being in a conversation or application, but they are simply very large predictive models that infer from a massive dataset. Learn about what these models are limited at doing as well:
  • Use reputable resources:  
    Should you use tools that are outside of U-M’s offerings, ensure that are legitimate resources. 

And as a good rule of thumb, always know the safe computing practices. Safe Computing is a U-M resource for more information about protecting yourself and your data online.

Considering the ethics of using GenAI

Following are some things to consider as you use GenAI-based tools, and how it may affect your usage of them in your day-to-day life:

  • GenAI is not sentient:  
    GenAI models or Large Language models (LLMs) might appear to possess sentience or self-awareness as a human would, but are simply systems trained on large and biased datasets. LLMs are designed to output the most likely, or most common results possible based on their data, and will invariably tend to suppress less common or marginalized information.
  • GenAI is biased:  
    GenAI models carry implicit biases in them that make them unsuitable for use in cases of ethical deliberation and decision, and should not be used in those circumstances. Furthermore, this data is from the past, which results in a loss of context for current social changes.
  • GenAI can mislead:  
    GenAI in its current stage will tend to ‘hallucinate’ or make up random data that is not true. Models have no real sense of what is true or false. These models are built to output what is most likely in a verbose manner, even if there might not be enough real information to back it up.
  • GenAI prefers English:  
    LLM models are currently heavily biased toward Standard American English. This means that writing styles and dialects adopted by other cultures and ethnic groups such in cases of African American or Indigenous English are at risk of being penalized for a privileged White-dominated form of writing instead.

With that in mind, here are some basic guidelines that can help you in how you use GenAI in academic use:

  • Use U-M’s offerings that ensure your data privacy and security.
  • Talk to your professor about how and where GenAI-based tools can be used in your course. Seek clarity on issues of syllabus wording, citation, and methods of use.
  • Do not cite information from GenAI as the truth for the information it presents. Always check the citations that it provides, and research them yourself. You can also reach out to the Librarian for assistance in your research.
  • GenAI-based tools are just that, tools that you wield. Your prompts can determine the quality of information that you get and should assist you in your academic growth. They do not and should not replace your ability for critical thinking and problem-solving as an individual.

If you have concerns about how GenAI is being used or limited in a course, or have disputes with the course instructor over the usage of these tools, we recommend first contacting your school or college, as they may be able to assist you in accessing training material specifically curated for your area.

Sources

  1. Guidelines for the Ethical Use of Generative AI (i.e. ChatGPT) on Campus from Santa Clara University’s Markkula Center for Applied Ethics
  2. Guidance for the Use of Generative AI from UCLA 
  3. Some statistics using data from What Are the 200 Most Spoken Languages? and Census Bureau Tables, there are 1.5 billion English speakers for 7.8 billion people on this planet, and out of that, only 245 million of said English speakers live in a USA household with English as their primary language. That’s around 16% of all English speakers and 3% of all people.

Questions to ask yourself

As GenAI poses to be a revolutionary tool that can change the academic space and beyond, it is important for you to understand why and how you intend to use these new, powerful tools. These are a few questions to consider and note that the answers to these questions will vary for each person.

  • Is using a GenAI-based tool helping me learn more and think better?
  • Is using a GenAI-based tool enabling or hindering my mastery of the stated course objectives?
  • Is the content I generate accurate and verifiable? Is it free of biases that might harm other groups of society?
  • How will I treat content that might have been generated using a GenAI-based tool?
  • Is using a GenAI-based tool equitable to my peers in my course?
  • How can my actions in using a GenAI-based tool lead to the greater good of society?

Understand that your usage of GenAI-based tools can give you the means to better not just yourself, but also society as a whole, and there is an ethical responsibility towards doing so.

Examples of GenAI-based tools

For a list of AI tools offered by U-M, as well AI tools external to U-M, visit the AI tools page.